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Why cannot long-term cascade be predicted? Exploring temporal dynamics in information diffusion processes [PDF]
Royal Society Open Science, 2021 Predicting information cascade plays a crucial role in various applications such as advertising campaigns, emergency management and infodemic controlling. However, predicting the scale of an information cascade in the long-term could be difficult.
Ren-Meng Cao, Xiao Fan Liu, Xiao-Ke Xu
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Information diffusion in signed networks. [PDF]
PLoS One, 2019 Information diffusion has been widely discussed in various disciplines including sociology, economics, physics or computer science. In this paper, we generalize the linear threshold model in signed networks consisting of both positive and negative links.
He X, Du H, Feldman MW, Li G.
europepmc +5 more sources
Maximizing Information Diffusion in the Cyber-physical Integrated Network [PDF]
Sensors, 2015 Nowadays, our living environment has been embedded with smart objects, such as smart sensors, smart watches and smart phones. They make cyberspace and physical space integrated by their abundant abilities of sensing, communication and computation ...
Hongliang Lu +4 more
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Collaborative Diffusion Model of Information and Behavior in Social Networks
Journal of Social Computing, 2023 Information diffusion may lead to behaviors related to information content. This paper considers the co-existence of information and behavior diffusion in social networks.
Qingsong Sun +3 more
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Applications of social network analysis in promoting circular economy: a literature review
Technological and Economic Development of Economy, 2023 Circular economy (CE) is a sustainable alternative to tackle global challenges like climate change, waste, and pollution. The relations, perceptions and behaviors of stakeholders in circular economic activities may form barriers that hinder the circular
Huchang Liao +3 more
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Information Acquisition and Diffusion in Markets [PDF]
SSRN Electronic Journal, 2021 AbstractConsumers acquire information through their own search efforts or through word‐of‐mouth communication within their social network. Information diffusion leads to free‐riding and less active search. Free‐riding consumers also create important positive externalities, however, as they are more likely to compare prices, imposing competitive ...
Atayev, Atabek, Janssen, Maarten
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An epidemic model for correlated information diffusion in crowd intelligence networks [PDF]
International Journal of Crowd Science, 2019 Purpose – With the popularity of the internet and the increasing numbers of netizens, tremendous information flows are generated daily by the intelligently interconnected individuals.
Yuejiang Li, H. Vicky Zhao, Yan Chen
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Internet of Intelligences in Risk Analysis for Online Services [PDF]
Journal of Risk Analysis and Crisis Response (JRACR), 2011 There are always some people who experienced or studied the risks of daily life. Based on that, in this paper, we proposed a new concept Internet of intelligences (IOI), which consists of intelligent agents, the Internet and a mathematics model.
Chongfu Huang
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Journal of Water and Climate Change, 2022 Aiming at the defect that there is no ability for the conventional weighted comprehensive assessment method (WCA) to grade drought risk directly, a method based on k-means cluster points to realize the classification of drought risk is proposed in this ...
Wentao Xu, Ming Tang, Yanlei Li
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Exploring Spillover Effects for COVID-19 Cascade Prediction
Entropy, 2022 An information outbreak occurs on social media along with the COVID-19 pandemic and leads to an infodemic. Predicting the popularity of online content, known as cascade prediction, allows for not only catching in advance information that deserves ...
Ninghan Chen +3 more
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